通信学报2017，Vol.38Issue(z1)：39-45,7.DOI:10.11959/j.issn.1000-436x.2017233
基于AdaBoost的链路质量预测机制研究
Study on AdaBoost-based link quality prediction mechanism
摘要
Abstract
The link quality was vulnerable to the complexity environment in wireless sensor network. Obtaining link quality information in advance could reduce energy consumption of nodes. After analyzing the existing link quality pre-diction methods, AdaBoost-based link quality prediction mechanism was put forward. Link quality samples in deferent scenarios were collected. Density-based unsupervised clustering algorithm was employed to classify training samples into deferent link quality levels. The AdaBoost with SVM-based component classifiers was adopted to build link quality pre-diction mechanism. Experimental results show that the proposed mechanism has better prediction precision.关键词
无线传感网络/链路质量预测/AdaBoost/链路质量等级划分Key words
wireless sensor network/link quality prediction/AdaBoost/classification for link quality分类
信息技术与安全科学引用本文复制引用
舒坚,刘满兰,郑巍..基于AdaBoost的链路质量预测机制研究[J].通信学报,2017,38(z1):39-45,7.基金项目
国家自然科学基金资助项目(No.61363015,No.61762065,No.61501217) （No.61363015,No.61762065,No.61501217）
江西省自然科学重点基金资助项目(No.20171BAB202009, No.20171ACB20018)The National Natural Science Foundation of China(No.61363015,No.61762065,No.6150127), The Natural Science Foundation of Jiangxi Province(No.20171BAB202009, No.20171ACB20018) （No.20171BAB202009, No.20171ACB20018）
